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Recent years have seen a growing interest in linguistic phenomena that challenge the received division of labour between lexicon and grammar, and hence often fall through the cracks of traditional dictionaries and grammars. Such phenomena call for novel, pattern based types of linguistic reference works (see various papers in Herbst 2019). The present paper introduces one such resource: MAP (“Musterbank argumentmarkierender Präpositionen”), a web based corpus linguistic patternbank of prepositional argument structure constructions in German. The paper gives an overview of the design and functionality of the MAP prototype currently developed at the Leibniz Institute for the German Language in Mannheim. We give a brief account of the data and our analytic workflow, illustrate the descriptions that make up the resource and sketch available options for querying it for specific lexical, semantic and structural properties of the data.
Recent years have seen a growing interest in linguistic phenomena that challenge the received division of labour between lexicon and grammar, and hence often fall through the cracks of traditional dictionaries and grammars. Such phenomena call for novel, pattern-based types of linguistic reference works (see various papers in Herbst 2019). The present paper introduces one such resource: MAP (“Musterbank argumentmarkierender Präpositionen”), a web-based corpus-linguistic patternbank of prepositional argument structure constructions in German. The paper gives an overview of the design and functionality of the MAP-prototype currently developed at the Leibniz-Institute for the German Language in Mannheim. We give a brief account of the data and our analytic workflow, illustrate the descriptions that make up the resource and sketch available options for querying it for specific lexical, semantic and structural properties of the data.
Am Beispiel der polyfunktionalen Mehrworteinheit <was weiß ich> wird das Zusammenspiel von pragmatischer und phonetischer Ausdifferenzierung in Pragmatikalisierungsprozessen untersucht. Hierzu werden spontan-sprachliche Belege aus dem Korpus „Deutsch heute“ analysiert. Die beobachtete phonetische Variationsbreite deutet auf eine komplexe Beziehung zu den jeweiligen pragmatischen Funktionen hin.
Co-development of action, conceptualization and social interaction mutually scaffold and support each other within a virtuous feedback cycle in the development of human language in children. Within this framework, the purpose of this article is to bring together diverse but complementary accounts of research methods that jointly contribute to our understanding of cognitive development and in particular, language acquisition in robots. Thus, we include research pertaining to developmental robotics, cognitive science, psychology, linguistics and neuroscience, as well as practical computer science and engineering. The different studies are not at this stage all connected into a cohesive whole; rather, they are presented to illuminate the need for multiple different approaches that complement each other in the pursuit of understanding cognitive development in robots. Extensive experiments involving the humanoid robot iCub are reported, while human learning relevant to developmental robotics has also contributed useful results.
Disparate approaches are brought together via common underlying design principles. Without claiming to model human language acquisition directly, we are nonetheless inspired by analogous development in humans and consequently, our investigations include the parallel co-development of action, conceptualization and social interaction. Though these different approaches need to ultimately be integrated into a coherent, unified body of knowledge, progress is currently also being made by pursuing individual methods.
Research on syntactic ambiguity resolution in language comprehension has shown that subjects' processing decisions are influenced by a variety of heterogeneous factors such as e.g., syntactic complexity, semantic fit and the discourse frequency of the competing structures. The present paper investigates a further potentially relevant factor in such processes: effects of syntagmatic lexical chunking (or matching to a complex memorized prefab) whose occurrence would be predicted from usage-based assumptions about linguistic categorisation. Focusing on the widely studied so-called DO/SC-ambiguity in which a post-verbal NP is syntactically ambiguous between a direct object and the subject of an embedded clause, potentially biasing collocational chunks of the relevant type are identified in a number of corpus-linguistic pretests and then investigated in a self-paced reading experiment. The results show a significant increase in processing difficulty from a collocationally neutral over a lexically biasing to a strongly biasing condition. This suggests that syntagmatically complex and partially schematic templates of the kind envisioned in usage-based Construction Grammar may impinge on speakers' online processing decisions during sentence comprehension.
Introduction
(2008)